Dammian Miller DammianMiller

Implementing complex numbers and FFT with just datatypes (no floats)

In this article, I'll explain why implementing numbers with just algebraic datatypes is desirable. I'll then talk about common implementations of FFT (Fast Fourier Transform) and why they hide inherent inefficiencies. I'll then show how to implement integers and complex numbers with just algebraic datatypes, in a way that is extremely simple and elegant. I'll conclude by deriving a pure functional implementation of complex FFT with just datatypes, no floats.

Cryptographic Best Practices

Putting cryptographic primitives together is a lot like putting a jigsaw puzzle together, where all the pieces are cut exactly the same way, but there is only one correct solution. Thankfully, there are some projects out there that are working hard to make sure developers are getting it right.

The following advice comes from years of research from leading security researchers, developers, and cryptographers. This Gist was [forked from Thomas Ptacek's Gist][1] to be more readable. Additions have been added from

Keybase proof

I hereby claim:

I am DammianMiller on github.
I am dammianmiller (https://keybase.io/dammianmiller) on keybase.
I have a public key whose fingerprint is F47D DD58 F8A4 D556 0C3C 016E 1A96 87A3 1433 F785

To claim this, I am signing this object:

Scoped components

CSS class names quickly get out of hand. Repos end up with unorganized CSS files all over the place making it difficult to name things and find them in the code.

The scoped components pattern addresses this by grouping classes into "component" scopes.

<div data-component="news-menu">
  <h1 class="title">...</h1>
  <ul class="items">
    <li class="item">...</li>

	-- Decoding
	SELECT CONVERT_FROM(DECODE(field, 'BASE64'), 'UTF-8') FROM table;

	-- Encoding
	SELECT ENCODE(CONVERT_TO(field, 'UTF-8'), 'base64') FROM table;